Ganadhipathi sri sai devesh g

Frontend: React, TypeScript, JavaScript (ES6+), HTML5, CSS3, Material UI, Responsive Design, Component-Based Architecture
Backend: FastAPI, Node.js, RESTful APIs, PostgreSQL, Database Design, API Integration
Programming Languages: Python, JavaScript
Tools &amp; Technologies: Git, GitHub, Docker (basic), Nginx, CORS, CI/CD (GitHub Actions)

Eli Lilly

07.2023 - Current

Contributed across various projects, with primary responsibility

for two flagship applications that improved research efficiency and enabled scalable, role-based data insights.

Scientific Discovery Enablement Platform

Accelerated frontend development by 40% by building modular, reusable UI components with React, TypeScript, and Material UI, reducing code duplication across the platform.
Collaborated closely with scientists to digitize molecule discovery workflows, improving data analysis speed and operational efficiency in research labs.
Built seamless real-time data flows by integrating Node.js APIs with structured and unstructured scientific data sources.
Improved platform performance and adoption by implementing responsive design patterns, UI optimizations, and scalable component architecture.

Secure Data Visualization & Access Platform

Developed high-performance, secure backend APIs using FastAPI and Trino, delivering a 50% reduction in query time for large-scale scientific datasets.
Delivered a customizable, role-based frontend using React, TypeScript, and Material UI, integrated with ChemDraw and Spotfire for scientific data analysis.
Built advanced UI features like tagging, drill-down dashboards, dynamic filters, and exportable tables, driving better usability and user-specific insights.
Implemented lazy loading and polling strategies to support real-time data visualization of millions of records with minimal performance overhead.
Enabled interactive, decision-oriented charts using Chart.js, visualizing compound activity, trends, and research metrics critical to discovery efforts.